XXX from the XXX Research Team is looking to engage in consultation with the Telethon Kids Institute’s Biometrics team to undertake statistical analysis to determine brief project summary.
Study overview to put the analysis in context.
Table 1: Caption
| Sepal.Length | Sepal.Width | Petal.Length | Petal.Width | Species |
|---|---|---|---|---|
| 5.1 | 3.5 | 1.4 | 0.2 | setosa |
| 4.9 | 3.0 | 1.4 | 0.2 | setosa |
| 4.7 | 3.2 | 1.3 | 0.2 | setosa |
| 4.6 | 3.1 | 1.5 | 0.2 | setosa |
| 5.0 | 3.6 | 1.4 | 0.2 | setosa |
| 5.4 | 3.9 | 1.7 | 0.4 | setosa |
Figure 1: Caption.
Figure 2: Example of ‘jtools::plot_summs()’.
| term | estimate | conf.low | conf.high |
|---|---|---|---|
| (Intercept) | 2.39 | 1.88 | 2.90 |
| Sepal.Width | 0.43 | 0.27 | 0.59 |
| Petal.Length | 0.78 | 0.65 | 0.90 |
| Speciesversicolor | -0.96 | -1.38 | -0.53 |
| Speciesvirginica | -1.39 | -1.95 | -0.83 |
StudRes Hat CookD
15 2.5271587 0.05159448 0.066998220
42 0.3632216 0.10113854 0.002986792
85 -2.7387914 0.02384169 0.035068507
101 -2.5894556 0.02991757 0.039792767
107 -2.2510898 0.06241849 0.065630415
119 0.7861327 0.12817960 0.018220458
Non-constant Variance Score Test
Variance formula: ~ fitted.values
Chisquare = 4.127549, Df = 1, p = 0.04219
Suggested power transformation: -0.5620567 
[1] 85 101
| GVIF | Df | GVIF^(1/(2*Df)) |
|---|---|---|
| 1.946902 | 1 | 1.395314 |
| 19.898536 | 1 | 4.460778 |
| 27.111945 | 2 | 2.281866 |
$$ \sqrt(model) > 2 $$
| GVIF | Df | GVIF^(1/(2*Df)) |
|---|---|---|
| FALSE | FALSE | FALSE |
| TRUE | FALSE | TRUE |
| TRUE | FALSE | FALSE |
Reference (Stevenson and Cooper 2019).
This document was prepared using the software R, via the RStudio IDE, and was written in RMarkdown.
## R version 3.6.0 (2019-04-26)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 8.1 x64 (build 9600)
##
## Matrix products: default
##
## locale:
## [1] LC_COLLATE=English_Australia.1252 LC_CTYPE=English_Australia.1252
## [3] LC_MONETARY=English_Australia.1252 LC_NUMERIC=C
## [5] LC_TIME=English_Australia.1252
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] jtools_2.0.1 captioner_2.2.3 GGally_1.4.0
## [4] broom_0.5.2 kableExtra_1.1.0 knitr_1.23
## [7] biometrics_1.0.4 ProjectTemplate_0.9.0 car_3.0-3
## [10] carData_3.0-2 lubridate_1.7.4 forcats_0.4.0
## [13] stringr_1.4.0 tibble_2.1.1 purrr_0.3.2
## [16] readr_1.3.1 tidyr_0.8.3 dplyr_0.8.1
## [19] ggplot2_3.1.1 repmis_0.5
##
## loaded via a namespace (and not attached):
## [1] Rcpp_1.0.1 lattice_0.20-38 assertthat_0.2.1
## [4] digest_0.6.19 R6_2.4.0 cellranger_1.1.0
## [7] plyr_1.8.4 backports_1.1.4 ggstance_0.3.1
## [10] evaluate_0.13 highr_0.8 httr_1.4.0
## [13] pillar_1.4.0 rlang_0.3.4 lazyeval_0.2.2
## [16] curl_3.3 readxl_1.3.1 rstudioapi_0.10
## [19] data.table_1.12.2 R.utils_2.8.0 R.oo_1.22.0
## [22] rmarkdown_1.13 labeling_0.3 webshot_0.5.1
## [25] pander_0.6.3 foreign_0.8-71 igraph_1.2.4.1
## [28] munsell_0.5.0 compiler_3.6.0 xfun_0.7
## [31] pkgconfig_2.0.2 htmltools_0.3.6 tidyselect_0.2.5
## [34] rio_0.5.16 reshape_0.8.8 viridisLite_0.3.0
## [37] crayon_1.3.4 withr_2.1.2 MASS_7.3-51.4
## [40] R.methodsS3_1.7.1 grid_3.6.0 nlme_3.1-139
## [43] gtable_0.3.0 magrittr_1.5 scales_1.0.0
## [46] zip_2.0.2 stringi_1.4.3 xml2_1.2.0
## [49] generics_0.0.2 openxlsx_4.1.0.1 RColorBrewer_1.1-2
## [52] tools_3.6.0 R.cache_0.13.0 glue_1.3.1
## [55] hms_0.4.2 abind_1.4-5 yaml_2.2.0
## [58] colorspace_1.4-1 rvest_0.3.4 haven_2.1.0Stevenson, Paul, and Matthew Cooper. 2019. Biometrics: Report Templates for the Telethon Kids Institute.